Simultaneous adjustment of uncontrolled confounding, selection bias and misclassification in multiple-bias modelling.

Simultaneous multi-bias analysis is a useful way of investigating and understanding how multiple sources of bias may affect naive effect estimates. This new method can be used to enhance the validity and transparency of real-world evidence obtained from observational, longitudinal studies.